![]() ![]() For PyGaze, should suffice, but installing SciPy is a smart move (you’ll need it for PsychoPy). NumPy is part of the, which contains some other cool packages that are worth checking out too ( in particular). MATLAB users will find its syntax really familiar (see for more on that), and we would advise any other researcher to invest some time in learning to work with it. Direct downloads Installing NumPy is an invaluable tool for every researcher that ever needs to do any kind of calculations. If you’re wondering where the Linux download is, you’ve been underappreciating your OS, as one of the cool things about nearly every Linux version is that Python is pre-installed. Please select the version that is appropriate for your operating system, and download the 32-bit version! This is important, as some of PyGaze’s dependencies do not work on a 64-bit version. Installing Python PyGaze runs on Python, an awesome programming language. Windows and Linux A very complete guide to installing PyGaze and its dependencies on Linux has been written by Joseph DeVeaugh-Geiss. But we do send our condolences for your cat. If your computer blows up, sets fire to your cat, or causes World War 3 while you were following our guidelines, then this is not our responsibility. ![]() ![]() Apart from this, the following instructions are meant to help you, but come without any warranty or guarantees. And in the second answer it says I can install.Ī couple of disclaimers: We’re not in any way affiliated with or responsible for the packages listed below, credits go out to the respective authors, as should your eternal gratitude. The top answer there tells me to get a module called pywin32. Alternatively, if you’re a Windows user, you could opt for downloading our, which requires no installation whatsoever. If this is your first attempt at using Python, we suggest you read and follow the instructions below. That being said, we have done our best to provide you with a complete list of everything you’ll need to run PyGaze as smoothly as possible. This is actually why some people prefer to use proprietary software: you pay for it, but that means you’ll receive ample support too. One of these drawbacks is that it can be rather consumer unfriendly. Although open-source software in general, and Python in specific, is truly amazing, sometimes it has it’s drawbacks. Setting up a working Python installation can be tricky. ![]()
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